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metadata
license: mit
multilinguality:
  - multilingual
source_datasets:
  - original
task_categories:
  - text-classification
  - token-classification
  - question-answering
  - summarization
  - text-generation
task_ids:
  - sentiment-analysis
  - topic-classification
  - named-entity-recognition
  - language-modeling
  - text-scoring
  - multi-class-classification
  - multi-label-classification
  - extractive-qa
  - news-articles-summarization

Bittensor Subnet 13 Reddit Dataset

Data-universe: The finest collection of social media data the web has to offer
Data-universe: The finest collection of social media data the web has to offer

Dataset Description

  • Repository: arrmlet/reddit_dataset_218
  • Subnet: Bittensor Subnet 13
  • Miner Hotkey: 0

Dataset Summary

This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks. For more information about the dataset, please visit the official repository.

Supported Tasks

The versatility of this dataset allows researchers and data scientists to explore various aspects of social media dynamics and develop innovative applications. Users are encouraged to leverage this data creatively for their specific research or business needs. For example:

  • Sentiment Analysis
  • Topic Modeling
  • Community Analysis
  • Content Categorization

Languages

Primary language: Datasets are mostly English, but can be multilingual due to decentralized ways of creation.

Dataset Structure

Data Instances

Each instance represents a single Reddit post or comment with the following fields:

Data Fields

  • text (string): The main content of the Reddit post or comment.
  • label (string): Sentiment or topic category of the content.
  • dataType (string): Indicates whether the entry is a post or a comment.
  • communityName (string): The name of the subreddit where the content was posted.
  • datetime (string): The date when the content was posted or commented.
  • username_encoded (string): An encoded version of the username to maintain user privacy.
  • url_encoded (string): An encoded version of any URLs included in the content.

Data Splits

This dataset is continuously updated and does not have fixed splits. Users should create their own splits based on their requirements and the data's timestamp.

Dataset Creation

Source Data

Data is collected from public posts and comments on Reddit, adhering to the platform's terms of service and API usage guidelines.

Personal and Sensitive Information

All usernames and URLs are encoded to protect user privacy. The dataset does not intentionally include personal or sensitive information.

Considerations for Using the Data

Social Impact and Biases

Users should be aware of potential biases inherent in Reddit data, including demographic and content biases. This dataset reflects the content and opinions expressed on Reddit and should not be considered a representative sample of the general population.

Limitations

  • Data quality may vary due to the nature of media sources.
  • The dataset may contain noise, spam, or irrelevant content typical of social media platforms.
  • Temporal biases may exist due to real-time collection methods.
  • The dataset is limited to public subreddits and does not include private or restricted communities.

Additional Information

Licensing Information

The dataset is released under the MIT license. The use of this dataset is also subject to Reddit Terms of Use.

Citation Information

If you use this dataset in your research, please cite it as follows:

@misc{arrmlet2024datauniversereddit_dataset_218,
        title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
        author={arrmlet},
        year={2024},
        url={https://huggingface.co/datasets/arrmlet/reddit_dataset_218},
        }

Contributions

To report issues or contribute to the dataset, please contact the miner or use the Bittensor Subnet 13 governance mechanisms.

Dataset Statistics

[This section is automatically updated]

  • Total Instances: 10381390
  • Date Range: 2023-02-09T00:00:00Z to 2024-10-22T00:00:00Z
  • Last Updated: 2024-10-22T19:48:11Z

Data Distribution

  • Posts: 7.82%
  • Comments: 91.67%

Top 10 Subreddits

For full statistics, please refer to the stats.json file in the repository.

Rank Topic Total Count Average Percentage
1 r/AskReddit 499756 2.79%
2 r/politics 489754 2.41%
3 r/worldnews 428077 4.69%
4 r/Bitcoin 387611 10.24%
5 r/pics 377756 2.14%
6 r/technology 372317 4.01%
7 r/movies 336710 1.85%
8 r/mildlyinteresting 328702 1.75%
9 r/todayilearned 326125 4.03%
10 r/Music 311735 3.69%

Update History

Date New Instances Total Instances
2024-10-06T22:29:18Z 25889 25889
2024-10-08T13:42:19Z 26380 52269
2024-10-08T17:19:03Z 28902 81171
2024-10-08T17:49:43Z 29325 110496
2024-10-08T18:08:43Z 3778562 3889058
2024-10-10T00:43:29Z 29330 3918388
2024-10-10T11:50:51Z 30930 3949318
2024-10-10T11:59:11Z 31040 3980358
2024-10-10T12:01:32Z 31058 4011416
2024-10-12T05:58:58Z 320747 4332163
2024-10-15T15:09:52Z 1 4332164
2024-10-15T17:59:56Z 316600 4648764
2024-10-15T21:46:35Z 1 4648765
2024-10-16T12:25:27Z 1006 4649771
2024-10-16T12:53:06Z 70228 4719999
2024-10-22T17:50:41Z 583210 5303209
2024-10-22T19:48:11Z 5078181 10381390